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Export Reference (APA) 
Andrade, M. A. P. & Ferreira, M. A. M. (2022). Civil and Criminal Identification Through Bayesian Networks Approach. EasyChair Preprint Nº 7962.
Export Reference (IEEE) 
M. A. Andrade and M. A. Ferreira,  "Civil and Criminal Identification Through Bayesian Networks Approach", in EasyChair Preprint Nº 7962, Manchester, 2022
Export BibTeX 
@unpublished{andrade2022_1716201696513,
	author = "Andrade, M. A. P. and Ferreira, M. A. M.",
	title = "Civil and Criminal Identification Through Bayesian Networks Approach",
	year = "2022",
	url = "	https://easychair.org/publications/preprint/Hd8K"
}
Export RIS 
TY  - EJOUR
TI  - Civil and Criminal Identification Through Bayesian Networks Approach
T2  - EasyChair Preprint Nº 7962
AU  - Andrade, M. A. P.
AU  - Ferreira, M. A. M.
PY  - 2022
CY  - Manchester
UR  - 	https://easychair.org/publications/preprint/Hd8K
AB  - DNA evidence use in problems of civil and criminal identification is becoming greater and greater. The necessity of evaluating the weight of that evidence may be accomplished using one of the most known powerful tools: the Bayesian networks. In the current paper this will be illustrated through the presentation of a civil identification problem and of a criminal identification problem.
ER  -